Liu S - Search Results

1

Historical Datasets Support Genomic Selection Models for the Prediction of Cotton Fiber Quality Phenotypes Across Multiple Environments.

Gapare W, Liu S, Conaty W, Zhu QH, Gillespie V, Llewellyn D, Stiller W, Wilson I. Gapare W, et al. Among authors: liu s. G3 (Bethesda). 2018 May 4;8(5):1721-1732. doi: 10.1534/g3.118.200140. G3 (Bethesda). 2018. PMID: 29559536 Free PMC article.

2

Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population.

Lacape JM, Llewellyn D, Jacobs J, Arioli T, Becker D, Calhoun S, Al-Ghazi Y, Liu S, Palaï O, Georges S, Giband M, de Assunção H, Barroso PA, Claverie M, Gawryziak G, Jean J, Vialle M, Viot C. Lacape JM, et al. Among authors: liu s. BMC Plant Biol. 2010 Jun 28;10:132. doi: 10.1186/1471-2229-10-132. BMC Plant Biol. 2010. PMID: 20584292 Free PMC article.

3

Inheritance and QTL Mapping of Leaf Nutrient Concentration in a Cotton Inter-Specific Derived RIL Population.

Liu S, Lacape JM, Constable GA, Llewellyn DJ. Liu S, et al. PLoS One. 2015 May 28;10(5):e0128100. doi: 10.1371/journal.pone.0128100. eCollection 2015. PLoS One. 2015. PMID: 26020945 Free PMC article.

4

Engineering Trienoic Fatty Acids into Cottonseed Oil Improves Low-Temperature Seed Germination, Plant Photosynthesis and Cotton Fiber Quality.

Gao L, Chen W, Xu X, Zhang J, Singh TK, Liu S, Zhang D, Tian L, White A, Shrestha P, Zhou XR, Llewellyn D, Green A, Singh SP, Liu Q. Gao L, et al. Among authors: liu s, liu q. Plant Cell Physiol. 2020 Jul 1;61(7):1335-1347. doi: 10.1093/pcp/pcaa062. Plant Cell Physiol. 2020. PMID: 32379869

5

Improved lint yield under field conditions in cotton over-expressing transcription factors regulating fibre initiation.

Liu SM, Koebernick JC, Walford SA, Constable GA, Stiller WN, Llewellyn DJ. Liu SM, et al. Transgenic Res. 2020 Dec;29(5-6):529-550. doi: 10.1007/s11248-020-00214-x. Epub 2020 Sep 16. Transgenic Res. 2020. PMID: 32939587

6

Correction to: Improved lint yield under field conditions in cotton over-expressing transcription factors regulating fibre initiation.

Liu S, Koebernick JC, Walford SA, Constable GA, Stiller WN, Llewellyn DJ. Liu S, et al. Transgenic Res. 2020 Dec;29(5-6):551. doi: 10.1007/s11248-020-00216-9. Transgenic Res. 2020. PMID: 33052558

7

HairNet: a deep learning model to score leaf hairiness, a key phenotype for cotton fibre yield, value and insect resistance.

Rolland V, Farazi MR, Conaty WC, Cameron D, Liu S, Petersson L, Stiller WN. Rolland V, et al. Among authors: liu s. Plant Methods. 2022 Jan 19;18(1):8. doi: 10.1186/s13007-021-00820-8. Plant Methods. 2022. PMID: 35042523 Free PMC article.

8

Genomic prediction of cotton fibre quality and yield traits using Bayesian regression methods.

Li Z, Liu S, Conaty W, Zhu QH, Moncuquet P, Stiller W, Wilson I. Li Z, et al. Among authors: liu s. Heredity (Edinb). 2022 Aug;129(2):103-112. doi: 10.1038/s41437-022-00537-x. Epub 2022 May 6. Heredity (Edinb). 2022. PMID: 35523950 Free PMC article.

9

Cotton Breeding in Australia: Meeting the Challenges of the 21st Century.

Conaty WC, Broughton KJ, Egan LM, Li X, Li Z, Liu S, Llewellyn DJ, MacMillan CP, Moncuquet P, Rolland V, Ross B, Sargent D, Zhu QH, Pettolino FA, Stiller WN. Conaty WC, et al. Among authors: liu s. Front Plant Sci. 2022 May 13;13:904131. doi: 10.3389/fpls.2022.904131. eCollection 2022. Front Plant Sci. 2022. PMID: 35646011 Free PMC article. Review.

10

HairNet2: deep learning to quantify cotton leaf hairiness, a complex genetic and environmental trait.

Farazi M, Conaty WC, Egan L, Thompson SPJ, Wilson IW, Liu S, Stiller WN, Petersson L, Rolland V. Farazi M, et al. Among authors: liu s. Plant Methods. 2024 Mar 19;20(1):46. doi: 10.1186/s13007-024-01149-8. Plant Methods. 2024. PMID: 38504327 Free PMC article.

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